معرفی
Yi-Jun Chang is an NUS Presidential Young Professor at the Department of Computer Science, National University of Singapore. His research focuses on theoretical computer science, particularly distributed, parallel, and sublinear graph algorithms. He holds a Ph.D. from the University of Michigan (2019) and was a Junior Fellow at ETH Zurich's Institute for Theoretical Studies (2019–2021). He has taught courses such as CS6234 Advanced Algorithms and CS5275 The Algorithm Designer's Toolkit.
His awards include the 2020 PODC Doctoral Dissertation Award and Best Paper Awards at PODC 2019. His work spans distributed algorithms, graph theory, and computational complexity, with notable contributions to expander decompositions, distributed coloring, and energy-efficient leader election protocols.
Chang actively mentors postdoctoral researchers and offers openings for Ph.D. students. His research emphasizes scalable algorithms for distributed systems, with applications in networks and parallel computing.
